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From Azuryy Yu <azury...@gmail.com>
Subject Re: Some Tajo-0.9.0 questions
Date Fri, 16 Jan 2015 09:05:01 GMT
default> select count(*) from test_pl_00_0;
Progress: 0%, response time: 0.718 sec
Progress: 0%, response time: 0.72 sec
Progress: 0%, response time: 1.121 sec
Progress: 12%, response time: 1.923 sec
Progress: 28%, response time: 2.925 sec
Progress: 41%, response time: 3.927 sec
Progress: 50%, response time: 4.931 sec
Progress: 100%, response time: 5.323 sec
2015-01-16T17:04:41.116+0800: [GC2015-01-16T17:04:41.116+0800: [ParNew:
26543K->6211K(31488K), 0.0079770 secs] 26543K->6211K(115456K), 0.0080700
secs] [Times: user=0.02 sys=0.00, real=0.01 secs]
2015-01-16T17:04:41.303+0800: [GC2015-01-16T17:04:41.303+0800: [ParNew:
27203K->7185K(31488K), 0.0066950 secs] 27203K->7185K(115456K), 0.0068130
secs] [Times: user=0.02 sys=0.00, real=0.01 secs]
2015-01-16T17:04:41.504+0800: [GC2015-01-16T17:04:41.504+0800: [ParNew:
28177K->5597K(31488K), 0.0091630 secs] 28177K->6523K(115456K), 0.0092430
secs] [Times: user=0.02 sys=0.00, real=0.01 secs]
2015-01-16T17:04:41.778+0800: [GC2015-01-16T17:04:41.778+0800: [ParNew:
26589K->6837K(31488K), 0.0067280 secs] 27515K->7764K(115456K), 0.0068160
secs] [Times: user=0.02 sys=0.00, real=0.01 secs]
?count
-------------------------------
4487999
(1 rows, 5.323 sec, 8 B selected)

On Fri, Jan 16, 2015 at 5:03 PM, Azuryy Yu <azuryyyu@gmail.com> wrote:

> Hi,
> There is no big improvement, sometimes more slower than before. I also try
> to increase worker's heap size and parallel, nothing improve.
>
> default> select count(distinct auid) from test_pl_00_0;
> Progress: 0%, response time: 0.963 sec
> Progress: 0%, response time: 0.964 sec
> Progress: 0%, response time: 1.366 sec
> Progress: 0%, response time: 2.168 sec
> Progress: 0%, response time: 3.17 sec
> Progress: 0%, response time: 4.172 sec
> Progress: 16%, response time: 5.174 sec
> Progress: 16%, response time: 6.176 sec
> Progress: 16%, response time: 7.178 sec
> Progress: 33%, response time: 8.18 sec
> Progress: 50%, response time: 9.181 sec
> Progress: 50%, response time: 10.183 sec
> Progress: 50%, response time: 11.185 sec
> Progress: 50%, response time: 12.187 sec
> Progress: 66%, response time: 13.189 sec
> Progress: 66%, response time: 14.19 sec
> Progress: 100%, response time: 15.003 sec
> 2015-01-16T17:00:56.410+0800: [GC2015-01-16T17:00:56.410+0800: [ParNew:
> 26473K->6582K(31488K), 0.0105030 secs] 26473K->6582K(115456K), 0.0105720
> secs] [Times: user=0.04 sys=0.00, real=0.01 secs]
> 2015-01-16T17:00:56.593+0800: [GC2015-01-16T17:00:56.593+0800: [ParNew:
> 27574K->6469K(31488K), 0.0086300 secs] 27574K->6469K(115456K), 0.0086940
> secs] [Times: user=0.02 sys=0.00, real=0.01 secs]
> 2015-01-16T17:00:56.800+0800: [GC2015-01-16T17:00:56.800+0800: [ParNew:
> 27461K->5664K(31488K), 0.0122560 secs] 27461K->6591K(115456K), 0.0123210
> secs] [Times: user=0.02 sys=0.01, real=0.01 secs]
> 2015-01-16T17:00:57.065+0800: [GC2015-01-16T17:00:57.065+0800: [ParNew:
> 26656K->6906K(31488K), 0.0070520 secs] 27583K->7833K(115456K), 0.0071470
> secs] [Times: user=0.03 sys=0.00, real=0.01 secs]
> ?count
> -------------------------------
> 1222356
> (1 rows, 15.003 sec, 8 B selected)
>
>
> On Fri, Jan 16, 2015 at 4:09 PM, Azuryy Yu <azuryyyu@gmail.com> wrote:
>
>> Thanks Kim, I'll try and post back.
>>
>> On Fri, Jan 16, 2015 at 4:02 PM, Jinho Kim <jhkim@apache.org> wrote:
>>
>>> Thanks Azuryy Yu
>>>
>>> Your parallel running tasks of tajo-worker is 10 but heap memory is 3GB.
>>> It
>>> cause a long JVM pause
>>> I recommend following :
>>>
>>> tajo-env.sh
>>> TAJO_WORKER_HEAPSIZE=3000 or more
>>>
>>> tajo-site.xml
>>> <!--  worker  -->
>>> <property>
>>>   <name>tajo.worker.resource.memory-mb</name>
>>>   <value>3512</value> <!--  3 tasks + 1 qm task  -->
>>> </property>
>>> <property>
>>>   <name>tajo.task.memory-slot-mb.default</name>
>>>   <value>1000</value> <!--  default 512 -->
>>> </property>
>>> <property>
>>>    <name>tajo.worker.resource.dfs-dir-aware</name>
>>>    <value>true</value>
>>> </property>
>>> <!--  end  -->
>>> http://tajo.apache.org/docs/0.9.0/configuration/worker_configuration.html
>>>
>>> -Jinho
>>> Best regards
>>>
>>> 2015-01-16 16:02 GMT+09:00 Azuryy Yu <azuryyyu@gmail.com>:
>>>
>>> > Thanks Kim.
>>> >
>>> > The following is my tajo-env and tajo-site
>>> >
>>> > *tajo-env.sh:*
>>> > export HADOOP_HOME=/usr/local/hadoop
>>> > export JAVA_HOME=/usr/local/java
>>> > _TAJO_OPTS="-server -verbose:gc
>>> >   -XX:+PrintGCDateStamps
>>> >   -XX:+PrintGCDetails
>>> >   -XX:+UseGCLogFileRotation
>>> >   -XX:NumberOfGCLogFiles=9
>>> >   -XX:GCLogFileSize=256m
>>> >   -XX:+DisableExplicitGC
>>> >   -XX:+UseCompressedOops
>>> >   -XX:SoftRefLRUPolicyMSPerMB=0
>>> >   -XX:+UseFastAccessorMethods
>>> >   -XX:+UseParNewGC
>>> >   -XX:+UseConcMarkSweepGC
>>> >   -XX:+CMSParallelRemarkEnabled
>>> >   -XX:CMSInitiatingOccupancyFraction=70
>>> >   -XX:+UseCMSCompactAtFullCollection
>>> >   -XX:CMSFullGCsBeforeCompaction=0
>>> >   -XX:+CMSClassUnloadingEnabled
>>> >   -XX:CMSMaxAbortablePrecleanTime=300
>>> >   -XX:+CMSScavengeBeforeRemark
>>> >   -XX:PermSize=160m
>>> >   -XX:GCTimeRatio=19
>>> >   -XX:SurvivorRatio=2
>>> >   -XX:MaxTenuringThreshold=60"
>>> > _TAJO_MASTER_OPTS="$_TAJO_OPTS -Xmx512m -Xms512m -Xmn256m"
>>> > _TAJO_WORKER_OPTS="$_TAJO_OPTS -Xmx3g -Xms3g -Xmn1g"
>>> > _TAJO_QUERYMASTER_OPTS="$_TAJO_OPTS -Xmx512m -Xms512m -Xmn256m"
>>> > export TAJO_OPTS=$_TAJO_OPTS
>>> > export TAJO_MASTER_OPTS=$_TAJO_MASTER_OPTS
>>> > export TAJO_WORKER_OPTS=$_TAJO_WORKER_OPTS
>>> > export TAJO_QUERYMASTER_OPTS=$_TAJO_QUERYMASTER_OPTS
>>> > export TAJO_LOG_DIR=${TAJO_HOME}/logs
>>> > export TAJO_PID_DIR=${TAJO_HOME}/pids
>>> > export TAJO_WORKER_STANDBY_MODE=true
>>> >
>>> > *tajo-site.xml:*
>>> >
>>> > <configuration>
>>> >   <property>
>>> >     <name>tajo.rootdir</name>
>>> >     <value>hdfs://test-cluster/tajo</value>
>>> >   </property>
>>> >   <property>
>>> >     <name>tajo.master.umbilical-rpc.address</name>
>>> >     <value>10-0-86-51:26001</value>
>>> >   </property>
>>> >   <property>
>>> >     <name>tajo.master.client-rpc.address</name>
>>> >     <value>10-0-86-51:26002</value>
>>> >   </property>
>>> >   <property>
>>> >     <name>tajo.resource-tracker.rpc.address</name>
>>> >     <value>10-0-86-51:26003</value>
>>> >   </property>
>>> >   <property>
>>> >     <name>tajo.catalog.client-rpc.address</name>
>>> >     <value>10-0-86-51:26005</value>
>>> >   </property>
>>> >   <property>
>>> >     <name>tajo.worker.tmpdir.locations</name>
>>> >     <value>/test/tajo1,/test/tajo2,/test/tajo3</value>
>>> >   </property>
>>> >   <!--  worker  -->
>>> >   <property>
>>> >     <name>tajo.worker.resource.tajo.worker.resource.cpu-cores</name>
>>> >     <value>4</value>
>>> >   </property>
>>> >  <property>
>>> >    <name>tajo.worker.resource.memory-mb</name>
>>> >    <value>5120</value>
>>> >  </property>
>>> >   <property>
>>> >     <name>tajo.worker.resource.dfs-dir-aware</name>
>>> >     <value>true</value>
>>> >   </property>
>>> >   <property>
>>> >     <name>tajo.worker.resource.dedicated</name>
>>> >     <value>true</value>
>>> >   </property>
>>> >   <property>
>>> >     <name>tajo.worker.resource.dedicated-memory-ratio</name>
>>> >     <value>0.6</value>
>>> >   </property>
>>> > </configuration>
>>> >
>>> > On Fri, Jan 16, 2015 at 2:50 PM, Jinho Kim <jhkim@apache.org> wrote:
>>> >
>>> > > Hello Azuyy yu
>>> > >
>>> > > I left some comments.
>>> > >
>>> > > -Jinho
>>> > > Best regards
>>> > >
>>> > > 2015-01-16 14:37 GMT+09:00 Azuryy Yu <azuryyyu@gmail.com>:
>>> > >
>>> > > > Hi,
>>> > > >
>>> > > > I tested Tajo before half a year, then not focus on Tajo because
>>> some
>>> > > other
>>> > > > works.
>>> > > >
>>> > > > then I setup a small dev Tajo cluster this week.(six nodes, VM)
>>> based
>>> > on
>>> > > > Hadoop-2.6.0.
>>> > > >
>>> > > > so my questions is:
>>> > > >
>>> > > > 1) From I know half a yea ago, Tajo is work on Yarn, using Yarn
>>> > scheduler
>>> > > > to manage  job resources. but now I found it doesn't rely on Yarn,
>>> > > because
>>> > > > I only start HDFS daemons, no yarn daemons. so Tajo has his own
job
>>> > > > sheduler ?
>>> > > >
>>> > > >
>>> > > Now, tajo does using own task scheduler. and  You can start tajo
>>> without
>>> > > Yarn daemons
>>> > > Please refer to http://tajo.apache.org/docs/0.9.0/configuration.html
>>> > >
>>> > >
>>> > > >
>>> > > > 2) Does that we need to put the file replications on every nodes
on
>>> > Tajo
>>> > > > cluster?
>>> > > >
>>> > >
>>> > > No, tajo does not need more replication.  if you set more
>>> replication,
>>> > data
>>> > > locality can be increased
>>> > >
>>> > > such as I have a six nodes Tajo cluster, then should I set HDFS block
>>> > > > replication to six? because:
>>> > > >
>>> > > > I noticed when I run Tajo query, some nodes are busy, but some
is
>>> free.
>>> > > > because the file's blocks are only located on these nodes. non
>>> others.
>>> > > >
>>> > > >
>>> > > In my opinion, you need to run balancer
>>> > >
>>> > >
>>> >
>>> http://hadoop.apache.org/docs/r2.6.0/hadoop-project-dist/hadoop-hdfs/HDFSCommands.html#balancer
>>> > >
>>> > >
>>> > > 3)the test data set is 4 million rows. nearly several GB. but it's
>>> very
>>> > > > slow when I runing: select count(distinct ID) from ****;
>>> > > > Any possible problems here?
>>> > > >
>>> > >
>>> > > Could you share tajo-env.sh, tajo-site.xml ?
>>> > >
>>> > >
>>> > > >
>>> > > >
>>> > > > Thanks
>>> > > >
>>> > >
>>> >
>>>
>>
>>
>

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